google-native.bigquery/v2.Routine

The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.

Reference describing the ID of this routine.

The type of routine.

Optional.

Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.

Optional. The description of the routine, if defined.

Optional. The determinism level of the JavaScript UDF, if defined.

Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.

Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.

Optional. Remote function specific options.

Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.

Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.

Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.

Optional. Spark specific options.

Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.

The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.

Reference describing the ID of this routine.

The type of routine.

Optional.

Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.

Optional. The description of the routine, if defined.

Optional. The determinism level of the JavaScript UDF, if defined.

Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.

Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.

Optional. Remote function specific options.

Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.

Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.

Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.

Optional. Spark specific options.

Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.

The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.

Reference describing the ID of this routine.

The type of routine.

Optional.

Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.

Optional. The description of the routine, if defined.

Optional. The determinism level of the JavaScript UDF, if defined.

Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.

Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.

Optional. Remote function specific options.

Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.

Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.

Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.

Optional. Spark specific options.

Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.

The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.

Reference describing the ID of this routine.

The type of routine.

Optional.

Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.

Optional. The description of the routine, if defined.

Optional. The determinism level of the JavaScript UDF, if defined.

Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.

Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.

Optional. Remote function specific options.

Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.

Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.

Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.

Optional. Spark specific options.

Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.

The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.

Reference describing the ID of this routine.

The type of routine.

Optional.

Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.

Optional. The description of the routine, if defined.

Optional. The determinism level of the JavaScript UDF, if defined.

Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.

Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.

Optional. Remote function specific options.

Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.

Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.

Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.

Optional. Spark specific options.

Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.

The body of the routine. For functions, this is the expression in the AS clause. If language=SQL, it is the substring inside (but excluding) the parentheses. For example, for the function created with the following statement: CREATE FUNCTION JoinLines(x string, y string) as (concat(x, "\n", y)) The definition_body is concat(x, "\n", y) (\n is not replaced with linebreak). If language=JAVASCRIPT, it is the evaluated string in the AS clause. For example, for the function created with the following statement: CREATE FUNCTION f() RETURNS STRING LANGUAGE js AS 'return "\n";\n' The definition_body is return "\n";\n Note that both \n are replaced with linebreaks.

Reference describing the ID of this routine.

The type of routine.

Optional.

Optional. If set to DATA_MASKING, the function is validated and made available as a masking function. For more information, see Create custom masking routines.

Optional. The description of the routine, if defined.

Optional. The determinism level of the JavaScript UDF, if defined.

Optional. If language = "JAVASCRIPT", this field stores the path of the imported JAVASCRIPT libraries.

Optional. Defaults to "SQL" if remote_function_options field is absent, not set otherwise.

Optional. Remote function specific options.

Optional. Can be set only if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return table type is inferred from definition_body at query time in each query that references this routine. If present, then the columns in the evaluated table result will be cast to match the column types specified in return table type, at query time.

Optional if language = "SQL"; required otherwise. Cannot be set if routine_type = "TABLE_VALUED_FUNCTION". If absent, the return type is inferred from definition_body at query time in each query that references this routine. If present, then the evaluated result will be cast to the specified returned type at query time. For example, for the functions created with the following statements: * CREATE FUNCTION Add(x FLOAT64, y FLOAT64) RETURNS FLOAT64 AS (x + y); * CREATE FUNCTION Increment(x FLOAT64) AS (Add(x, 1)); * CREATE FUNCTION Decrement(x FLOAT64) RETURNS FLOAT64 AS (Add(x, -1)); The return_type is {type_kind: "FLOAT64"} for Add and Decrement, and is absent for Increment (inferred as FLOAT64 at query time). Suppose the function Add is replaced by CREATE OR REPLACE FUNCTION Add(x INT64, y INT64) AS (x + y); Then the inferred return type of Increment is automatically changed to INT64 at query time, while the return type of Decrement remains FLOAT64.

Optional. The security mode of the routine, if defined. If not defined, the security mode is automatically determined from the routine's configuration.

Optional. Spark specific options.

Optional. Can be set for procedures only. If true (default), the definition body will be validated in the creation and the updates of the procedure. For procedures with an argument of ANY TYPE, the definition body validtion is not supported at creation/update time, and thus this field must be set to false explicitly.

The time when this routine was created, in milliseconds since the epoch.

A hash of this resource.

The provider-assigned unique ID for this managed resource.

The time when this routine was last modified, in milliseconds since the epoch.

The time when this routine was created, in milliseconds since the epoch.

A hash of this resource.

The provider-assigned unique ID for this managed resource.

The time when this routine was last modified, in milliseconds since the epoch.

The time when this routine was created, in milliseconds since the epoch.

A hash of this resource.

The provider-assigned unique ID for this managed resource.

The time when this routine was last modified, in milliseconds since the epoch.

The time when this routine was created, in milliseconds since the epoch.

A hash of this resource.

The provider-assigned unique ID for this managed resource.

The time when this routine was last modified, in milliseconds since the epoch.

The time when this routine was created, in milliseconds since the epoch.

A hash of this resource.

The provider-assigned unique ID for this managed resource.

The time when this routine was last modified, in milliseconds since the epoch.

The time when this routine was created, in milliseconds since the epoch.

A hash of this resource.

The provider-assigned unique ID for this managed resource.

The time when this routine was last modified, in milliseconds since the epoch.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Optional. Defaults to FIXED_TYPE.

Required unless argument_kind = ANY_TYPE.

Optional. Whether the argument is an aggregate function parameter. Must be Unset for routine types other than AGGREGATE_FUNCTION. For AGGREGATE_FUNCTION, if set to false, it is equivalent to adding "NOT AGGREGATE" clause in DDL; Otherwise, it is equivalent to omitting "NOT AGGREGATE" clause in DDL.

Optional. Specifies whether the argument is input or output. Can be set for procedures only.

Optional. The name of this argument. Can be absent for function return argument.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

Fully qualified name of the user-provided connection object which holds the authentication information to send requests to the remote service. Format: "projects/{projectId}/locations/{locationId}/connections/{connectionId}"

Endpoint of the user-provided remote service, e.g. https://us-east1-my_gcf_project.cloudfunctions.net/remote_add

Max number of rows in each batch sent to the remote service. If absent or if 0, BigQuery dynamically decides the number of rows in a batch.

User-defined context as a set of key/value pairs, which will be sent as function invocation context together with batched arguments in the requests to the remote service. The total number of bytes of keys and values must be less than 8KB.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

The ID of the dataset containing this routine.

The ID of the project containing this routine.

The ID of the routine. The ID must contain only letters (a-z, A-Z), numbers (0-9), or underscores (_). The maximum length is 256 characters.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

Archive files to be extracted into the working directory of each executor. For more information about Apache Spark, see Apache Spark.

Fully qualified name of the user-provided Spark connection object. Format: "projects/{project_id}/locations/{location_id}/connections/{connection_id}"

Custom container image for the runtime environment.

Files to be placed in the working directory of each executor. For more information about Apache Spark, see Apache Spark.

JARs to include on the driver and executor CLASSPATH. For more information about Apache Spark, see Apache Spark.

The fully qualified name of a class in jar_uris, for example, com.example.wordcount. Exactly one of main_class and main_jar_uri field should be set for Java/Scala language type.

The main file/jar URI of the Spark application. Exactly one of the definition_body field and the main_file_uri field must be set for Python. Exactly one of main_class and main_file_uri field should be set for Java/Scala language type.

Configuration properties as a set of key/value pairs, which will be passed on to the Spark application. For more information, see Apache Spark and the procedure option list.

Python files to be placed on the PYTHONPATH for PySpark application. Supported file types: .py, .egg, and .zip. For more information about Apache Spark, see Apache Spark.

Runtime version. If not specified, the default runtime version is used.

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

The fields of this struct, in order, if type_kind = "STRUCT".

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

The fields of this struct, in order, if type_kind = "STRUCT".

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

The fields of this struct, in order, if type_kind = "STRUCT".

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

The fields of this struct, in order, if type_kind = "STRUCT".

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

The fields of this struct, in order, if type_kind = "STRUCT".

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

The fields of this struct, in order, if type_kind = "STRUCT".

The fields of this struct, in order, if type_kind = "STRUCT".

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

The fields of this struct, in order, if type_kind = "STRUCT".

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

The fields of this struct, in order, if type_kind = "STRUCT".

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

The fields of this struct, in order, if type_kind = "STRUCT".

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

The fields of this struct, in order, if type_kind = "STRUCT".

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

The fields of this struct, in order, if type_kind = "STRUCT".

The top level type of this field. Can be any GoogleSQL data type (e.g., "INT64", "DATE", "ARRAY").

The type of the array's elements, if type_kind = "ARRAY".

The type of the range's elements, if type_kind = "RANGE".

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Optional. The name of this field. Can be absent for struct fields.

Optional. The type of this parameter. Absent if not explicitly specified (e.g., CREATE FUNCTION statement can omit the return type; in this case the output parameter does not have this "type" field).

Fields within the struct.

Fields within the struct.

Fields within the struct.

Fields within the struct.

Fields within the struct.

Fields within the struct.

Fields within the struct.

Fields within the struct.

Fields within the struct.

Fields within the struct.

Fields within the struct.

Fields within the struct.

The columns in this table type

The columns in this table type

The columns in this table type

The columns in this table type

The columns in this table type

The columns in this table type

The columns in this table type

The columns in this table type

The columns in this table type

The columns in this table type

The columns in this table type

The columns in this table type